Not a pilot. Not a demo. A 90-day embedded engagement that produces a financial model your board can fund — built on your data, under a protocol designed so we cannot grade our own homework.
We embed a Forward Deployed Engineer inside your engineering organisation. They work in your systems, with your team, against your actual 24 months of maintenance history — not a sanitised extract in a separate environment.
At the end of 90 days, you have three things:
Every issue class scored under the blind protocol. AI model answer frozen before it sees the fix your engineers shipped. Every record auditable by your own team.
Built on your numbers, not our assumptions. Cost recaptured, capacity redirected, payback and NPV — in three scenarios, labelled by source.
A function specification for the team that would run this — governance model, rollback posture, SLA structure — designed to be presented without us in the room.
If the evidence does not justify the investment, the report says so. That is not a failure condition — it is the point. An assessment that can only conclude yes is not an assessment.
Our AI model never sees the fix your engineers shipped until after its own answer is frozen and timestamped. The first question a CTO asks is whether we saw the answer first. We built the method so the answer is no.
Each figure is labelled: your data, or our measurement. Never our assumption. A CFO who can trace every input trusts the model. That traceability is built into the format, not added at the end.
The same evidence answers your CFO, your CPO, and your CTO. The numbers cannot contradict each other because there is only one dataset underneath all three outputs.
We invite your engineers to independently score a random sample of our findings. We offer this before anyone asks — because the value of the method is that it survives scrutiny.
A cost story ends at the saving. This one starts there. Every hour recovered from maintenance is an hour of already-funded engineering capacity that can be pointed at the roadmap — new product, new features, the work that shows up in revenue rather than in run-rate.
This is why the framing is redirection, not reduction. A maintenance-automation programme sold internally as a headcount exercise loses the engineers it needs to succeed. Sold as freeing your best people to build, it is one of the few AI initiatives an engineering organisation will actively pull for.
A 30-minute call tells us whether there is a question worth answering. If there is not, we will say so.
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